Dataset statistics
| Number of variables | 24 |
|---|---|
| Number of observations | 64404 |
| Missing cells | 707067 |
| Missing cells (%) | 45.7% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 46.8 MiB |
| Average record size in memory | 762.7 B |
Variable types
| Categorical | 11 |
|---|---|
| Numeric | 12 |
| Unsupported | 1 |
MarcaVehiculo__c has constant value "97.0" | Constant |
MdeloVehiculo__c has constant value "999.0" | Constant |
n_prod_prev is highly correlated with total_siniestros and 1 other fields | High correlation |
total_siniestros is highly correlated with n_prod_prev and 2 other fields | High correlation |
total_pagado_smmlv is highly correlated with n_prod_prev and 2 other fields | High correlation |
anios_ultimo_siniestro is highly correlated with total_siniestros and 1 other fields | High correlation |
Activos__c is highly correlated with AnnualRevenue and 1 other fields | High correlation |
AnnualRevenue is highly correlated with Activos__c and 1 other fields | High correlation |
EgresosAnuales__c is highly correlated with Activos__c and 1 other fields | High correlation |
total_siniestros is highly correlated with total_pagado_smmlv | High correlation |
total_pagado_smmlv is highly correlated with total_siniestros | High correlation |
anios_ultimo_siniestro is highly correlated with AnnualRevenue and 1 other fields | High correlation |
AnnualRevenue is highly correlated with anios_ultimo_siniestro and 1 other fields | High correlation |
EgresosAnuales__c is highly correlated with anios_ultimo_siniestro and 1 other fields | High correlation |
total_siniestros is highly correlated with total_pagado_smmlv and 1 other fields | High correlation |
total_pagado_smmlv is highly correlated with total_siniestros and 1 other fields | High correlation |
anios_ultimo_siniestro is highly correlated with total_siniestros and 1 other fields | High correlation |
AnnualRevenue is highly correlated with EgresosAnuales__c | High correlation |
EgresosAnuales__c is highly correlated with AnnualRevenue | High correlation |
churn is highly correlated with n_prod_prev and 2 other fields | High correlation |
FechaInicioVigencia__ctrim is highly correlated with MarcaVehiculo__c and 1 other fields | High correlation |
n_prod_prev is highly correlated with churn and 3 other fields | High correlation |
EstadoCivil__pc is highly correlated with MarcaVehiculo__c and 3 other fields | High correlation |
MarcaVehiculo__c is highly correlated with churn and 9 other fields | High correlation |
CodigoTipoAsegurado__c is highly correlated with MarcaVehiculo__c and 1 other fields | High correlation |
tipo_poliza_name is highly correlated with MarcaVehiculo__c and 3 other fields | High correlation |
TipoVehiculo__c is highly correlated with n_prod_prev and 5 other fields | High correlation |
Genero__pc is highly correlated with EstadoCivil__pc and 3 other fields | High correlation |
MdeloVehiculo__c is highly correlated with churn and 9 other fields | High correlation |
tipo_prod_desc is highly correlated with MarcaVehiculo__c and 2 other fields | High correlation |
CodigoTipoAsegurado__c is highly correlated with n_prod_prev and 1 other fields | High correlation |
PuntoVenta__c is highly correlated with ClaseVehiculo__c and 1 other fields | High correlation |
tipo_poliza_name is highly correlated with tipo_prod_desc and 9 other fields | High correlation |
tipo_prod_desc is highly correlated with tipo_poliza_name and 2 other fields | High correlation |
ClaseVehiculo__c is highly correlated with PuntoVenta__c and 9 other fields | High correlation |
TipoVehiculo__c is highly correlated with PuntoVenta__c and 9 other fields | High correlation |
NumeroPoliza__c is highly correlated with tipo_poliza_name and 6 other fields | High correlation |
FechaInicioVigencia__ctrim is highly correlated with tipo_poliza_name and 3 other fields | High correlation |
churn is highly correlated with ClaseVehiculo__c and 3 other fields | High correlation |
n_prod_prev is highly correlated with CodigoTipoAsegurado__c and 10 other fields | High correlation |
total_siniestros is highly correlated with tipo_poliza_name and 3 other fields | High correlation |
total_pagado_smmlv is highly correlated with CodigoTipoAsegurado__c and 7 other fields | High correlation |
anios_ultimo_siniestro is highly correlated with Activos__c and 2 other fields | High correlation |
Activos__c is highly correlated with n_prod_prev and 4 other fields | High correlation |
AnnualRevenue is highly correlated with n_prod_prev and 3 other fields | High correlation |
MontoAnual__c is highly correlated with tipo_poliza_name and 4 other fields | High correlation |
OtrosIngresos__c is highly correlated with Activos__c and 1 other fields | High correlation |
EgresosAnuales__c is highly correlated with n_prod_prev and 4 other fields | High correlation |
EstadoCivil__pc is highly correlated with ClaseVehiculo__c and 3 other fields | High correlation |
Genero__pc is highly correlated with tipo_poliza_name and 2 other fields | High correlation |
edad is highly correlated with ClaseVehiculo__c and 1 other fields | High correlation |
MarcaVehiculo__c has 12899 (20.0%) missing values | Missing |
MdeloVehiculo__c has 12899 (20.0%) missing values | Missing |
n_prod_prev has 61750 (95.9%) missing values | Missing |
total_siniestros has 60246 (93.5%) missing values | Missing |
total_pagado_smmlv has 60246 (93.5%) missing values | Missing |
anios_ultimo_siniestro has 60246 (93.5%) missing values | Missing |
Activos__c has 58200 (90.4%) missing values | Missing |
AnnualRevenue has 58200 (90.4%) missing values | Missing |
MontoAnual__c has 64395 (> 99.9%) missing values | Missing |
OtrosIngresos__c has 59709 (92.7%) missing values | Missing |
Profesion__pc has 64404 (100.0%) missing values | Missing |
EgresosAnuales__c has 58200 (90.4%) missing values | Missing |
EstadoCivil__pc has 9823 (15.3%) missing values | Missing |
Genero__pc has 9823 (15.3%) missing values | Missing |
edad has 56027 (87.0%) missing values | Missing |
OtrosIngresos__c is highly skewed (γ1 = 41.12936967) | Skewed |
Profesion__pc is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
OtrosIngresos__c has 4402 (6.8%) zeros | Zeros |
Reproduction
| Analysis started | 2022-05-07 20:48:01.468763 |
|---|---|
| Analysis finished | 2022-05-07 20:54:22.011683 |
| Duration | 6 minutes and 20.54 seconds |
| Software version | pandas-profiling v3.2.0 |
| Download configuration | config.json |
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.6 MiB |
| 1 | |
|---|---|
| 4 | 1256 |
| 2 | 838 |
| 3 | 759 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 64404 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 4 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 61551 | |
| 4 | 1256 | 2.0% |
| 2 | 838 | 1.3% |
| 3 | 759 | 1.2% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1 | 61551 | |
| 4 | 1256 | 2.0% |
| 2 | 838 | 1.3% |
| 3 | 759 | 1.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 61551 | |
| 4 | 1256 | 2.0% |
| 2 | 838 | 1.3% |
| 3 | 759 | 1.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 64404 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 61551 | |
| 4 | 1256 | 2.0% |
| 2 | 838 | 1.3% |
| 3 | 759 | 1.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 64404 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 61551 | |
| 4 | 1256 | 2.0% |
| 2 | 838 | 1.3% |
| 3 | 759 | 1.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 64404 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 61551 | |
| 4 | 1256 | 2.0% |
| 2 | 838 | 1.3% |
| 3 | 759 | 1.2% |
| Distinct | 1394 |
|---|---|
| Distinct (%) | 2.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7529.805261 |
| Minimum | 1 |
|---|---|
| Maximum | 99999 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 503.3 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 301 |
| Q1 | 1778 |
| median | 9672 |
| Q3 | 12285 |
| 95-th percentile | 12845 |
| Maximum | 99999 |
| Range | 99998 |
| Interquartile range (IQR) | 10507 |
Descriptive statistics
| Standard deviation | 5009.310331 |
|---|---|
| Coefficient of variation (CV) | 0.6652642609 |
| Kurtosis | 0.1363023156 |
| Mean | 7529.805261 |
| Median Absolute Deviation (MAD) | 2946 |
| Skewness | -0.2235605019 |
| Sum | 484949578 |
| Variance | 25093190 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 3301 | 1863 | 2.9% |
| 12190 | 1647 | 2.6% |
| 7002 | 1362 | 2.1% |
| 1149 | 1065 | 1.7% |
| 19 | 979 | 1.5% |
| 9721 | 977 | 1.5% |
| 610 | 963 | 1.5% |
| 12254 | 836 | 1.3% |
| 1503 | 740 | 1.1% |
| 103 | 736 | 1.1% |
| Other values (1384) | 53236 |
| Value | Count | Frequency (%) |
| 1 | 1 | < 0.1% |
| 3 | 1 | < 0.1% |
| 5 | 188 | |
| 7 | 1 | < 0.1% |
| 8 | 11 | < 0.1% |
| 9 | 5 | < 0.1% |
| 11 | 1 | < 0.1% |
| 13 | 1 | < 0.1% |
| 14 | 38 | 0.1% |
| 15 | 8 | < 0.1% |
| Value | Count | Frequency (%) |
| 99999 | 1 | < 0.1% |
| 20001 | 11 | |
| 13093 | 4 | < 0.1% |
| 13088 | 8 | |
| 13083 | 1 | < 0.1% |
| 13080 | 3 | < 0.1% |
| 13076 | 3 | < 0.1% |
| 13074 | 9 | |
| 13072 | 17 | |
| 13071 | 3 | < 0.1% |
| Distinct | 14 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 4.1 MiB |
| s.o.a.t | |
|---|---|
| individual | 4596 |
| responsabilidad civil | 2602 |
| otras | 1564 |
| de daños tradicional | 1136 |
| Other values (9) | 3001 |
Length
| Max length | 45 |
|---|---|
| Median length | 7 |
| Mean length | 8.543397926 |
| Min length | 5 |
Characters and Unicode
| Total characters | 550229 |
|---|---|
| Distinct characters | 22 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 2 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | de daños tradicional |
|---|---|
| 2nd row | de daños |
| 3rd row | flotante |
| 4th row | responsabilidad civil |
| 5th row | colectiva |
Common Values
| Value | Count | Frequency (%) |
| s.o.a.t | 51505 | |
| individual | 4596 | 7.1% |
| responsabilidad civil | 2602 | 4.0% |
| otras | 1564 | 2.4% |
| de daños tradicional | 1136 | 1.8% |
| de deudores hipotecarios | 743 | 1.2% |
| de daños | 470 | 0.7% |
| flotante | 456 | 0.7% |
| todo riesgo de obras civiles daños materiales | 416 | 0.6% |
| global sector privado | 412 | 0.6% |
| Other values (4) | 504 | 0.8% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| s.o.a.t | 51505 | |
| individual | 4596 | 6.1% |
| de | 2856 | 3.8% |
| responsabilidad | 2602 | 3.5% |
| civil | 2602 | 3.5% |
| daños | 2022 | 2.7% |
| otras | 1564 | 2.1% |
| tradicional | 1136 | 1.5% |
| deudores | 743 | 1.0% |
| hipotecarios | 743 | 1.0% |
| Other values (18) | 4568 | 6.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 154515 | |
| a | 71273 | |
| o | 64942 | |
| s | 64154 | |
| t | 57463 | 10.4% |
| i | 30394 | 5.5% |
| d | 22882 | 4.2% |
| l | 13576 | 2.5% |
| e | 10717 | 1.9% |
| 10533 | 1.9% | |
| Other values (12) | 49780 | 9.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 385181 | |
| Other Punctuation | 154515 | |
| Space Separator | 10533 | 1.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 71273 | |
| o | 64942 | |
| s | 64154 | |
| t | 57463 | |
| i | 30394 | |
| d | 22882 | 5.9% |
| l | 13576 | 3.5% |
| e | 10717 | 2.8% |
| n | 9203 | 2.4% |
| r | 9182 | 2.4% |
| Other values (10) | 31395 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 154515 |
Space Separator
| Value | Count | Frequency (%) |
| 10533 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 385181 | |
| Common | 165048 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 71273 | |
| o | 64942 | |
| s | 64154 | |
| t | 57463 | |
| i | 30394 | |
| d | 22882 | 5.9% |
| l | 13576 | 3.5% |
| e | 10717 | 2.8% |
| n | 9203 | 2.4% |
| r | 9182 | 2.4% |
| Other values (10) | 31395 |
Common
| Value | Count | Frequency (%) |
| . | 154515 | |
| 10533 | 6.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 548207 | |
| None | 2022 | 0.4% |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| . | 154515 | |
| a | 71273 | |
| o | 64942 | |
| s | 64154 | |
| t | 57463 | 10.5% |
| i | 30394 | 5.5% |
| d | 22882 | 4.2% |
| l | 13576 | 2.5% |
| e | 10717 | 2.0% |
| 10533 | 1.9% | |
| Other values (11) | 47758 | 8.7% |
None
| Value | Count | Frequency (%) |
| ñ | 2022 |
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.8 MiB |
| otras | |
|---|---|
| convenios | 1230 |
| au excepciones | 482 |
| au ded unic liv | 470 |
| disp legales | 24 |
Length
| Max length | 15 |
|---|---|
| Median length | 5 |
| Mean length | 5.219334203 |
| Min length | 5 |
Characters and Unicode
| Total characters | 336146 |
|---|---|
| Distinct characters | 17 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | otras |
|---|---|
| 2nd row | otras |
| 3rd row | otras |
| 4th row | otras |
| 5th row | otras |
Common Values
| Value | Count | Frequency (%) |
| otras | 62198 | |
| convenios | 1230 | 1.9% |
| au excepciones | 482 | 0.7% |
| au ded unic liv | 470 | 0.7% |
| disp legales | 24 | < 0.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| otras | 62198 | |
| convenios | 1230 | 1.9% |
| au | 952 | 1.4% |
| excepciones | 482 | 0.7% |
| ded | 470 | 0.7% |
| unic | 470 | 0.7% |
| liv | 470 | 0.7% |
| disp | 24 | < 0.1% |
| legales | 24 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| o | 65140 | |
| s | 63958 | |
| a | 63174 | |
| r | 62198 | |
| t | 62198 | |
| n | 3412 | 1.0% |
| e | 3194 | 1.0% |
| i | 2676 | 0.8% |
| c | 2664 | 0.8% |
| 1916 | 0.6% | |
| Other values (7) | 5616 | 1.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 334230 | |
| Space Separator | 1916 | 0.6% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| o | 65140 | |
| s | 63958 | |
| a | 63174 | |
| r | 62198 | |
| t | 62198 | |
| n | 3412 | 1.0% |
| e | 3194 | 1.0% |
| i | 2676 | 0.8% |
| c | 2664 | 0.8% |
| v | 1700 | 0.5% |
| Other values (6) | 3916 | 1.2% |
Space Separator
| Value | Count | Frequency (%) |
| 1916 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 334230 | |
| Common | 1916 | 0.6% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| o | 65140 | |
| s | 63958 | |
| a | 63174 | |
| r | 62198 | |
| t | 62198 | |
| n | 3412 | 1.0% |
| e | 3194 | 1.0% |
| i | 2676 | 0.8% |
| c | 2664 | 0.8% |
| v | 1700 | 0.5% |
| Other values (6) | 3916 | 1.2% |
Common
| Value | Count | Frequency (%) |
| 1916 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 336146 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| o | 65140 | |
| s | 63958 | |
| a | 63174 | |
| r | 62198 | |
| t | 62198 | |
| n | 3412 | 1.0% |
| e | 3194 | 1.0% |
| i | 2676 | 0.8% |
| c | 2664 | 0.8% |
| 1916 | 0.6% | |
| Other values (7) | 5616 | 1.7% |
| Distinct | 10 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 20029.1162 |
| Minimum | 1 |
|---|---|
| Maximum | 99999 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 503.3 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 5 |
| 95-th percentile | 99999 |
| Maximum | 99999 |
| Range | 99998 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 40020.56009 |
|---|---|
| Coefficient of variation (CV) | 1.998119123 |
| Kurtosis | 0.2434989554 |
| Mean | 20029.1162 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.497828892 |
| Sum | 1289955200 |
| Variance | 1601645230 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1 | 46371 | |
| 99999 | 12899 | 20.0% |
| 5 | 2819 | 4.4% |
| 2 | 1275 | 2.0% |
| 3 | 474 | 0.7% |
| 7 | 209 | 0.3% |
| 6 | 191 | 0.3% |
| 4 | 84 | 0.1% |
| 9 | 60 | 0.1% |
| 8 | 22 | < 0.1% |
| Value | Count | Frequency (%) |
| 1 | 46371 | |
| 2 | 1275 | 2.0% |
| 3 | 474 | 0.7% |
| 4 | 84 | 0.1% |
| 5 | 2819 | 4.4% |
| 6 | 191 | 0.3% |
| 7 | 209 | 0.3% |
| 8 | 22 | < 0.1% |
| 9 | 60 | 0.1% |
| 99999 | 12899 | 20.0% |
| Value | Count | Frequency (%) |
| 99999 | 12899 | 20.0% |
| 9 | 60 | 0.1% |
| 8 | 22 | < 0.1% |
| 7 | 209 | 0.3% |
| 6 | 191 | 0.3% |
| 5 | 2819 | 4.4% |
| 4 | 84 | 0.1% |
| 3 | 474 | 0.7% |
| 2 | 1275 | 2.0% |
| 1 | 46371 |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 12899 |
| Missing (%) | 20.0% |
| Memory size | 3.4 MiB |
| 97.0 |
|---|
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 206020 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 97.0 |
|---|---|
| 2nd row | 97.0 |
| 3rd row | 97.0 |
| 4th row | 97.0 |
| 5th row | 97.0 |
Common Values
| Value | Count | Frequency (%) |
| 97.0 | 51505 | |
| (Missing) | 12899 | 20.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 97.0 | 51505 |
Most occurring characters
| Value | Count | Frequency (%) |
| 9 | 51505 | |
| 7 | 51505 | |
| . | 51505 | |
| 0 | 51505 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 154515 | |
| Other Punctuation | 51505 | 25.0% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 9 | 51505 | |
| 7 | 51505 | |
| 0 | 51505 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 51505 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 206020 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 9 | 51505 | |
| 7 | 51505 | |
| . | 51505 | |
| 0 | 51505 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 206020 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 9 | 51505 | |
| 7 | 51505 | |
| . | 51505 | |
| 0 | 51505 |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 12899 |
| Missing (%) | 20.0% |
| Memory size | 3.5 MiB |
| 999.0 |
|---|
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 5 |
| Min length | 5 |
Characters and Unicode
| Total characters | 257525 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 999.0 |
|---|---|
| 2nd row | 999.0 |
| 3rd row | 999.0 |
| 4th row | 999.0 |
| 5th row | 999.0 |
Common Values
| Value | Count | Frequency (%) |
| 999.0 | 51505 | |
| (Missing) | 12899 | 20.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 999.0 | 51505 |
Most occurring characters
| Value | Count | Frequency (%) |
| 9 | 154515 | |
| . | 51505 | 20.0% |
| 0 | 51505 | 20.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 206020 | |
| Other Punctuation | 51505 | 20.0% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 9 | 154515 | |
| 0 | 51505 | 25.0% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 51505 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 257525 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 9 | 154515 | |
| . | 51505 | 20.0% |
| 0 | 51505 | 20.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 257525 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 9 | 154515 | |
| . | 51505 | 20.0% |
| 0 | 51505 | 20.0% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.6 MiB |
| 0 | |
|---|---|
| 99999 |
Length
| Max length | 5 |
|---|---|
| Median length | 1 |
| Mean length | 1.801130365 |
| Min length | 1 |
Characters and Unicode
| Total characters | 116000 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 99999 |
|---|---|
| 2nd row | 99999 |
| 3rd row | 99999 |
| 4th row | 99999 |
| 5th row | 99999 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 51505 | |
| 99999 | 12899 | 20.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 51505 | |
| 99999 | 12899 | 20.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 9 | 64495 | |
| 0 | 51505 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 116000 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 9 | 64495 | |
| 0 | 51505 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 116000 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 9 | 64495 | |
| 0 | 51505 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 116000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 9 | 64495 | |
| 0 | 51505 |
| Distinct | 60441 |
|---|---|
| Distinct (%) | 93.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3954909.092 |
| Minimum | 1000002 |
|---|---|
| Maximum | 4845222 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 503.3 KiB |
Quantile statistics
| Minimum | 1000002 |
|---|---|
| 5-th percentile | 1003854.15 |
| Q1 | 4139160.75 |
| median | 4587055.5 |
| Q3 | 4618324.25 |
| 95-th percentile | 4631331.85 |
| Maximum | 4845222 |
| Range | 3845220 |
| Interquartile range (IQR) | 479163.5 |
Descriptive statistics
| Standard deviation | 1154304.525 |
|---|---|
| Coefficient of variation (CV) | 0.2918662601 |
| Kurtosis | 2.046573422 |
| Mean | 3954909.092 |
| Median Absolute Deviation (MAD) | 44192 |
| Skewness | -1.875809211 |
| Sum | 2.547119651 × 1011 |
| Variance | 1.332418937 × 1012 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1004261 | 11 | < 0.1% |
| 1001176 | 11 | < 0.1% |
| 1001182 | 11 | < 0.1% |
| 1004259 | 11 | < 0.1% |
| 1001214 | 10 | < 0.1% |
| 1001179 | 10 | < 0.1% |
| 1004276 | 10 | < 0.1% |
| 1004239 | 10 | < 0.1% |
| 1000489 | 10 | < 0.1% |
| 1001257 | 9 | < 0.1% |
| Other values (60431) | 64301 |
| Value | Count | Frequency (%) |
| 1000002 | 5 | |
| 1000004 | 5 | |
| 1000006 | 3 | |
| 1000007 | 1 | < 0.1% |
| 1000009 | 5 | |
| 1000010 | 4 | |
| 1000013 | 1 | < 0.1% |
| 1000014 | 3 | |
| 1000015 | 3 | |
| 1000016 | 4 |
| Value | Count | Frequency (%) |
| 4845222 | 1 | |
| 4663419 | 1 | |
| 4661342 | 1 | |
| 4649462 | 1 | |
| 4649406 | 1 | |
| 4645719 | 1 | |
| 4645718 | 1 | |
| 4640593 | 1 | |
| 4634789 | 1 | |
| 4634788 | 1 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.9 MiB |
| 02-2021 | |
|---|---|
| 01-2021 | 3195 |
Length
| Max length | 7 |
|---|---|
| Median length | 7 |
| Mean length | 7 |
| Min length | 7 |
Characters and Unicode
| Total characters | 450828 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 02-2021 |
|---|---|
| 2nd row | 02-2021 |
| 3rd row | 02-2021 |
| 4th row | 01-2021 |
| 5th row | 02-2021 |
Common Values
| Value | Count | Frequency (%) |
| 02-2021 | 61209 | |
| 01-2021 | 3195 | 5.0% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 02-2021 | 61209 | |
| 01-2021 | 3195 | 5.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 190017 | |
| 0 | 128808 | |
| 1 | 67599 | 15.0% |
| - | 64404 | 14.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 386424 | |
| Dash Punctuation | 64404 | 14.3% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 190017 | |
| 0 | 128808 | |
| 1 | 67599 | 17.5% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 64404 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 450828 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 190017 | |
| 0 | 128808 | |
| 1 | 67599 | 15.0% |
| - | 64404 | 14.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 450828 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 190017 | |
| 0 | 128808 | |
| 1 | 67599 | 15.0% |
| - | 64404 | 14.3% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.6 MiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 64404 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 54055 | |
| 1 | 10349 | 16.1% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 54055 | |
| 1 | 10349 | 16.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 54055 | |
| 1 | 10349 | 16.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 64404 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 54055 | |
| 1 | 10349 | 16.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 64404 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 54055 | |
| 1 | 10349 | 16.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 64404 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 54055 | |
| 1 | 10349 | 16.1% |
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 61750 |
| Missing (%) | 95.9% |
| Memory size | 2.5 MiB |
| 1.0 | |
|---|---|
| 3.0 | |
| 8.0 | |
| 2.0 | 80 |
| 4.0 | 8 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 7962 |
|---|---|
| Distinct characters | 7 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 8.0 |
|---|---|
| 2nd row | 8.0 |
| 3rd row | 8.0 |
| 4th row | 1.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 1071 | 1.7% |
| 3.0 | 1021 | 1.6% |
| 8.0 | 474 | 0.7% |
| 2.0 | 80 | 0.1% |
| 4.0 | 8 | < 0.1% |
| (Missing) | 61750 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1.0 | 1071 | |
| 3.0 | 1021 | |
| 8.0 | 474 | |
| 2.0 | 80 | 3.0% |
| 4.0 | 8 | 0.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 2654 | |
| 0 | 2654 | |
| 1 | 1071 | |
| 3 | 1021 | 12.8% |
| 8 | 474 | 6.0% |
| 2 | 80 | 1.0% |
| 4 | 8 | 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 5308 | |
| Other Punctuation | 2654 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 2654 | |
| 1 | 1071 | |
| 3 | 1021 | 19.2% |
| 8 | 474 | 8.9% |
| 2 | 80 | 1.5% |
| 4 | 8 | 0.2% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 2654 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 7962 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| . | 2654 | |
| 0 | 2654 | |
| 1 | 1071 | |
| 3 | 1021 | 12.8% |
| 8 | 474 | 6.0% |
| 2 | 80 | 1.0% |
| 4 | 8 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 7962 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| . | 2654 | |
| 0 | 2654 | |
| 1 | 1071 | |
| 3 | 1021 | 12.8% |
| 8 | 474 | 6.0% |
| 2 | 80 | 1.0% |
| 4 | 8 | 0.1% |
total_siniestros
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 32 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 60246 |
| Missing (%) | 93.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 48.32924483 |
| Minimum | 1 |
|---|---|
| Maximum | 940 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 503.3 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 20 |
| Q3 | 38 |
| 95-th percentile | 150 |
| Maximum | 940 |
| Range | 939 |
| Interquartile range (IQR) | 35 |
Descriptive statistics
| Standard deviation | 63.0592206 |
|---|---|
| Coefficient of variation (CV) | 1.304783901 |
| Kurtosis | 27.59590949 |
| Mean | 48.32924483 |
| Median Absolute Deviation (MAD) | 18 |
| Skewness | 2.855234945 |
| Sum | 200953 |
| Variance | 3976.465303 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=32)
| Value | Count | Frequency (%) |
| 150 | 974 | 1.5% |
| 1 | 786 | 1.2% |
| 37 | 548 | 0.9% |
| 38 | 475 | 0.7% |
| 16 | 247 | 0.4% |
| 3 | 238 | 0.4% |
| 2 | 218 | 0.3% |
| 4 | 142 | 0.2% |
| 8 | 96 | 0.1% |
| 5 | 65 | 0.1% |
| Other values (22) | 369 | 0.6% |
| (Missing) | 60246 |
| Value | Count | Frequency (%) |
| 1 | 786 | |
| 2 | 218 | 0.3% |
| 3 | 238 | 0.4% |
| 4 | 142 | 0.2% |
| 5 | 65 | 0.1% |
| 6 | 33 | 0.1% |
| 7 | 52 | 0.1% |
| 8 | 96 | 0.1% |
| 9 | 27 | < 0.1% |
| 10 | 31 | < 0.1% |
| Value | Count | Frequency (%) |
| 940 | 3 | < 0.1% |
| 150 | 974 | |
| 90 | 2 | < 0.1% |
| 80 | 4 | < 0.1% |
| 52 | 7 | < 0.1% |
| 51 | 1 | < 0.1% |
| 45 | 4 | < 0.1% |
| 38 | 475 | |
| 37 | 548 | |
| 36 | 2 | < 0.1% |
total_pagado_smmlv
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 386 |
|---|---|
| Distinct (%) | 9.3% |
| Missing | 60246 |
| Missing (%) | 93.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2670.067165 |
| Minimum | 0 |
|---|---|
| Maximum | 55871.95629 |
| Zeros | 627 |
| Zeros (%) | 1.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 503.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 17.35001589 |
| median | 370.2541766 |
| Q3 | 3065.269972 |
| 95-th percentile | 8833.286309 |
| Maximum | 55871.95629 |
| Range | 55871.95629 |
| Interquartile range (IQR) | 3047.919956 |
Descriptive statistics
| Standard deviation | 3785.493099 |
|---|---|
| Coefficient of variation (CV) | 1.417752013 |
| Kurtosis | 18.08380843 |
| Mean | 2670.067165 |
| Median Absolute Deviation (MAD) | 370.2541766 |
| Skewness | 2.27192553 |
| Sum | 11102139.27 |
| Variance | 14329958 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 8833.286309 | 974 | 1.5% |
| 0 | 627 | 1.0% |
| 1306.925184 | 527 | 0.8% |
| 3065.269972 | 474 | 0.7% |
| 57.0596277 | 218 | 0.3% |
| 17.35001589 | 126 | 0.2% |
| 38.70535986 | 81 | 0.1% |
| 207.8908871 | 53 | 0.1% |
| 87.77731669 | 48 | 0.1% |
| 50.85823109 | 45 | 0.1% |
| Other values (376) | 985 | 1.5% |
| (Missing) | 60246 |
| Value | Count | Frequency (%) |
| 0 | 627 | |
| 0.1679049361 | 1 | < 0.1% |
| 0.225420076 | 2 | < 0.1% |
| 0.2439357817 | 1 | < 0.1% |
| 0.2557769398 | 1 | < 0.1% |
| 0.2844277434 | 1 | < 0.1% |
| 0.2931979932 | 1 | < 0.1% |
| 0.3073748027 | 1 | < 0.1% |
| 0.3077402298 | 1 | < 0.1% |
| 0.333331132 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 55871.95629 | 2 | < 0.1% |
| 22272.9517 | 3 | < 0.1% |
| 8833.286309 | 974 | |
| 4385.698773 | 2 | < 0.1% |
| 3065.269972 | 474 | |
| 2345.751903 | 3 | < 0.1% |
| 2265.861102 | 1 | < 0.1% |
| 1556.751448 | 1 | < 0.1% |
| 1446.628935 | 1 | < 0.1% |
| 1306.925184 | 527 |
anios_ultimo_siniestro
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 221 |
|---|---|
| Distinct (%) | 5.3% |
| Missing | 60246 |
| Missing (%) | 93.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.2722416599 |
| Minimum | 0.002739726027 |
|---|---|
| Maximum | 9.465753425 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 503.3 KiB |
Quantile statistics
| Minimum | 0.002739726027 |
|---|---|
| 5-th percentile | 0.002739726027 |
| Q1 | 0.005479452055 |
| median | 0.01095890411 |
| Q3 | 0.08493150685 |
| 95-th percentile | 1.606986301 |
| Maximum | 9.465753425 |
| Range | 9.463013699 |
| Interquartile range (IQR) | 0.07945205479 |
Descriptive statistics
| Standard deviation | 0.9555272766 |
|---|---|
| Coefficient of variation (CV) | 3.509849583 |
| Kurtosis | 34.33231817 |
| Mean | 0.2722416599 |
| Median Absolute Deviation (MAD) | 0.008219178082 |
| Skewness | 5.496456599 |
| Sum | 1131.980822 |
| Variance | 0.9130323764 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.002739726027 | 990 | 1.5% |
| 0.008219178082 | 559 | 0.9% |
| 0.01095890411 | 557 | 0.9% |
| 0.005479452055 | 395 | 0.6% |
| 0.09315068493 | 137 | 0.2% |
| 0.1095890411 | 101 | 0.2% |
| 0.07123287671 | 70 | 0.1% |
| 0.01643835616 | 56 | 0.1% |
| 0.07671232877 | 55 | 0.1% |
| 0.03287671233 | 43 | 0.1% |
| Other values (211) | 1195 | 1.9% |
| (Missing) | 60246 |
| Value | Count | Frequency (%) |
| 0.002739726027 | 990 | |
| 0.005479452055 | 395 | 0.6% |
| 0.008219178082 | 559 | |
| 0.01095890411 | 557 | |
| 0.01369863014 | 35 | 0.1% |
| 0.01643835616 | 56 | 0.1% |
| 0.02191780822 | 13 | < 0.1% |
| 0.02465753425 | 32 | < 0.1% |
| 0.02739726027 | 6 | < 0.1% |
| 0.0301369863 | 15 | < 0.1% |
| Value | Count | Frequency (%) |
| 9.465753425 | 1 | < 0.1% |
| 8.75890411 | 6 | |
| 8 | 5 | |
| 7.531506849 | 2 | < 0.1% |
| 7.178082192 | 6 | |
| 7.101369863 | 3 | < 0.1% |
| 7.005479452 | 3 | < 0.1% |
| 6.994520548 | 1 | < 0.1% |
| 6.235616438 | 10 | |
| 6.008219178 | 7 |
| Distinct | 1655 |
|---|---|
| Distinct (%) | 26.7% |
| Missing | 58200 |
| Missing (%) | 90.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 513144079.7 |
| Minimum | 0 |
|---|---|
| Maximum | 8.31 × 1010 |
| Zeros | 50 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 503.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3000000 |
| Q1 | 50000000 |
| median | 123219000 |
| Q3 | 331112500 |
| 95-th percentile | 1558311000 |
| Maximum | 8.31 × 1010 |
| Range | 8.31 × 1010 |
| Interquartile range (IQR) | 281112500 |
Descriptive statistics
| Standard deviation | 2312679344 |
|---|---|
| Coefficient of variation (CV) | 4.506881079 |
| Kurtosis | 395.0702999 |
| Mean | 513144079.7 |
| Median Absolute Deviation (MAD) | 98219000 |
| Skewness | 16.36979187 |
| Sum | 3.183545871 × 1012 |
| Variance | 5.348485747 × 1018 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 100000000 | 205 | 0.3% |
| 200000000 | 179 | 0.3% |
| 50000000 | 174 | 0.3% |
| 80000000 | 163 | 0.3% |
| 150000000 | 158 | 0.2% |
| 120000000 | 127 | 0.2% |
| 60000000 | 125 | 0.2% |
| 300000000 | 116 | 0.2% |
| 10000000 | 109 | 0.2% |
| 30000000 | 102 | 0.2% |
| Other values (1645) | 4746 | 7.4% |
| (Missing) | 58200 |
| Value | Count | Frequency (%) |
| 0 | 50 | |
| 1 | 90 | |
| 2 | 38 | |
| 20 | 3 | < 0.1% |
| 10000 | 1 | < 0.1% |
| 107254 | 1 | < 0.1% |
| 127000 | 1 | < 0.1% |
| 200000 | 2 | < 0.1% |
| 230000 | 1 | < 0.1% |
| 300000 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 8.31 × 1010 | 1 | < 0.1% |
| 5.643561885 × 1010 | 1 | < 0.1% |
| 3.3401125 × 1010 | 3 | |
| 3.2934155 × 1010 | 7 | |
| 2.8207083 × 1010 | 1 | < 0.1% |
| 2.379921321 × 1010 | 1 | < 0.1% |
| 1.9483034 × 1010 | 3 | |
| 1.9263183 × 1010 | 3 | |
| 1.7267744 × 1010 | 7 | |
| 1.56067031 × 1010 | 5 |
AnnualRevenue
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 1830 |
|---|---|
| Distinct (%) | 29.5% |
| Missing | 58200 |
| Missing (%) | 90.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 304876044.3 |
| Minimum | 0 |
|---|---|
| Maximum | 7.2539149 × 1010 |
| Zeros | 67 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 503.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 5500000 |
| Q1 | 24000000 |
| median | 43000000 |
| Q3 | 96000000 |
| 95-th percentile | 769247174.6 |
| Maximum | 7.2539149 × 1010 |
| Range | 7.2539149 × 1010 |
| Interquartile range (IQR) | 72000000 |
Descriptive statistics
| Standard deviation | 2063906208 |
|---|---|
| Coefficient of variation (CV) | 6.76965687 |
| Kurtosis | 393.1213775 |
| Mean | 304876044.3 |
| Median Absolute Deviation (MAD) | 26673126 |
| Skewness | 17.16512571 |
| Sum | 1.891450979 × 1012 |
| Variance | 4.259708835 × 1018 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 36000000 | 252 | 0.4% |
| 24000000 | 209 | 0.3% |
| 60000000 | 182 | 0.3% |
| 30000000 | 177 | 0.3% |
| 48000000 | 165 | 0.3% |
| 12000000 | 135 | 0.2% |
| 40000000 | 104 | 0.2% |
| 18000000 | 100 | 0.2% |
| 50000000 | 93 | 0.1% |
| 42000000 | 75 | 0.1% |
| Other values (1820) | 4712 | 7.3% |
| (Missing) | 58200 |
| Value | Count | Frequency (%) |
| 0 | 67 | |
| 1 | 13 | < 0.1% |
| 52230 | 1 | < 0.1% |
| 90790 | 1 | < 0.1% |
| 240000 | 1 | < 0.1% |
| 500000 | 1 | < 0.1% |
| 600000 | 1 | < 0.1% |
| 835000 | 1 | < 0.1% |
| 877000 | 1 | < 0.1% |
| 900000 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 7.2539149 × 1010 | 1 | < 0.1% |
| 4.24173603 × 1010 | 2 | < 0.1% |
| 3.408 × 1010 | 1 | < 0.1% |
| 3.243391822 × 1010 | 1 | < 0.1% |
| 2.9458395 × 1010 | 1 | < 0.1% |
| 2.9375273 × 1010 | 7 | |
| 2.765797 × 1010 | 3 | |
| 2.010036 × 1010 | 1 | < 0.1% |
| 1.897052621 × 1010 | 5 | |
| 1.7620986 × 1010 | 1 | < 0.1% |
| Distinct | 6 |
|---|---|
| Distinct (%) | 66.7% |
| Missing | 64395 |
| Missing (%) | > 99.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2579.111111 |
| Minimum | 0 |
|---|---|
| Maximum | 20000 |
| Zeros | 4 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 503.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 10 |
| Q3 | 102 |
| 95-th percentile | 13200 |
| Maximum | 20000 |
| Range | 20000 |
| Interquartile range (IQR) | 102 |
Descriptive statistics
| Standard deviation | 6606.381166 |
|---|---|
| Coefficient of variation (CV) | 2.561495369 |
| Kurtosis | 8.4219912 |
| Mean | 2579.111111 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | 2.882336495 |
| Sum | 23212 |
| Variance | 43644272.11 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0 | 4 | < 0.1% |
| 3000 | 1 | < 0.1% |
| 100 | 1 | < 0.1% |
| 102 | 1 | < 0.1% |
| 10 | 1 | < 0.1% |
| 20000 | 1 | < 0.1% |
| (Missing) | 64395 |
| Value | Count | Frequency (%) |
| 0 | 4 | |
| 10 | 1 | < 0.1% |
| 100 | 1 | < 0.1% |
| 102 | 1 | < 0.1% |
| 3000 | 1 | < 0.1% |
| 20000 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 20000 | 1 | < 0.1% |
| 3000 | 1 | < 0.1% |
| 102 | 1 | < 0.1% |
| 100 | 1 | < 0.1% |
| 10 | 1 | < 0.1% |
| 0 | 4 |
| Distinct | 142 |
|---|---|
| Distinct (%) | 3.0% |
| Missing | 59709 |
| Missing (%) | 92.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4471255.486 |
| Minimum | 0 |
|---|---|
| Maximum | 3479487967 |
| Zeros | 4402 |
| Zeros (%) | 6.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 503.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 4200000 |
| Maximum | 3479487967 |
| Range | 3479487967 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 61763776.62 |
|---|---|
| Coefficient of variation (CV) | 13.8135199 |
| Kurtosis | 2171.466619 |
| Mean | 4471255.486 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 41.12936967 |
| Sum | 2.099254451 × 1010 |
| Variance | 3.814764103 × 1015 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 4402 | 6.8% |
| 15000000 | 11 | < 0.1% |
| 12000000 | 9 | < 0.1% |
| 10000000 | 9 | < 0.1% |
| 5000000 | 9 | < 0.1% |
| 20000000 | 8 | < 0.1% |
| 6000000 | 8 | < 0.1% |
| 165644000 | 7 | < 0.1% |
| 2000000 | 7 | < 0.1% |
| 36000000 | 6 | < 0.1% |
| Other values (132) | 219 | 0.3% |
| (Missing) | 59709 |
| Value | Count | Frequency (%) |
| 0 | 4402 | |
| 1 | 1 | < 0.1% |
| 2 | 2 | < 0.1% |
| 4000 | 4 | < 0.1% |
| 9000 | 1 | < 0.1% |
| 37000 | 1 | < 0.1% |
| 227000 | 2 | < 0.1% |
| 274000 | 1 | < 0.1% |
| 500000 | 1 | < 0.1% |
| 529000 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 3479487967 | 1 | < 0.1% |
| 893893000 | 2 | |
| 720625000 | 3 | |
| 655490000 | 1 | < 0.1% |
| 517969000 | 2 | |
| 468342000 | 3 | |
| 196218120 | 1 | < 0.1% |
| 194874000 | 1 | < 0.1% |
| 194601000 | 4 | |
| 187969000 | 3 |
EgresosAnuales__c
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSING| Distinct | 1374 |
|---|---|
| Distinct (%) | 22.1% |
| Missing | 58200 |
| Missing (%) | 90.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 245358666.2 |
| Minimum | 0 |
|---|---|
| Maximum | 7.1738788 × 1010 |
| Zeros | 68 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 503.3 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2000000 |
| Q1 | 12000000 |
| median | 25000000 |
| Q3 | 58000000 |
| 95-th percentile | 592034849.4 |
| Maximum | 7.1738788 × 1010 |
| Range | 7.1738788 × 1010 |
| Interquartile range (IQR) | 46000000 |
Descriptive statistics
| Standard deviation | 1938474429 |
|---|---|
| Coefficient of variation (CV) | 7.900574531 |
| Kurtosis | 463.440573 |
| Mean | 245358666.2 |
| Median Absolute Deviation (MAD) | 15400000 |
| Skewness | 18.7591844 |
| Sum | 1.522205165 × 1012 |
| Variance | 3.757683113 × 1018 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 12000000 | 272 | 0.4% |
| 30000000 | 247 | 0.4% |
| 18000000 | 225 | 0.3% |
| 24000000 | 214 | 0.3% |
| 20000000 | 203 | 0.3% |
| 10000000 | 154 | 0.2% |
| 40000000 | 145 | 0.2% |
| 36000000 | 141 | 0.2% |
| 15000000 | 132 | 0.2% |
| 25000000 | 108 | 0.2% |
| Other values (1364) | 4363 | 6.8% |
| (Missing) | 58200 |
| Value | Count | Frequency (%) |
| 0 | 68 | |
| 1 | 39 | |
| 200000 | 1 | < 0.1% |
| 250000 | 1 | < 0.1% |
| 300000 | 2 | < 0.1% |
| 339561 | 1 | < 0.1% |
| 400000 | 2 | < 0.1% |
| 450000 | 14 | < 0.1% |
| 497395 | 1 | < 0.1% |
| 500000 | 12 | < 0.1% |
| Value | Count | Frequency (%) |
| 7.1738788 × 1010 | 1 | < 0.1% |
| 4.033890964 × 1010 | 2 | < 0.1% |
| 3.472297457 × 1010 | 1 | < 0.1% |
| 3.36 × 1010 | 1 | < 0.1% |
| 2.8430656 × 1010 | 7 | |
| 2.7557799 × 1010 | 1 | < 0.1% |
| 2.5171626 × 1010 | 3 | |
| 1.9746108 × 1010 | 1 | < 0.1% |
| 1.663542953 × 1010 | 1 | < 0.1% |
| 1.6135595 × 1010 | 1 | < 0.1% |
| Distinct | 8 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 9823 |
| Missing (%) | 15.3% |
| Memory size | 3.5 MiB |
| N A | |
|---|---|
| SOLTERO | |
| CASADO | 2709 |
| OTRO | 1476 |
| UNIDO | 120 |
| Other values (3) | 63 |
Length
| Max length | 10 |
|---|---|
| Median length | 3 |
| Mean length | 3.787691688 |
| Min length | 3 |
Characters and Unicode
| Total characters | 206736 |
|---|---|
| Distinct characters | 15 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | SOLTERO |
|---|---|
| 2nd row | OTRO |
| 3rd row | SOLTERO |
| 4th row | N A |
| 5th row | OTRO |
Common Values
| Value | Count | Frequency (%) |
| N A | 41989 | |
| SOLTERO | 8224 | 12.8% |
| CASADO | 2709 | 4.2% |
| OTRO | 1476 | 2.3% |
| UNIDO | 120 | 0.2% |
| VIUDO | 27 | < 0.1% |
| SEPARADO | 26 | < 0.1% |
| DIVORCIADO | 10 | < 0.1% |
| (Missing) | 9823 | 15.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| n | 41989 | |
| a | 41989 | |
| soltero | 8224 | 8.5% |
| casado | 2709 | 2.8% |
| otro | 1476 | 1.5% |
| unido | 120 | 0.1% |
| viudo | 27 | < 0.1% |
| separado | 26 | < 0.1% |
| divorciado | 10 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 47469 | |
| N | 42109 | |
| 41989 | ||
| O | 22302 | |
| S | 10959 | 5.3% |
| R | 9736 | 4.7% |
| T | 9700 | 4.7% |
| E | 8250 | 4.0% |
| L | 8224 | 4.0% |
| D | 2902 | 1.4% |
| Other values (5) | 3096 | 1.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 164747 | |
| Space Separator | 41989 | 20.3% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 47469 | |
| N | 42109 | |
| O | 22302 | |
| S | 10959 | 6.7% |
| R | 9736 | 5.9% |
| T | 9700 | 5.9% |
| E | 8250 | 5.0% |
| L | 8224 | 5.0% |
| D | 2902 | 1.8% |
| C | 2719 | 1.7% |
| Other values (4) | 377 | 0.2% |
Space Separator
| Value | Count | Frequency (%) |
| 41989 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 164747 | |
| Common | 41989 | 20.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| A | 47469 | |
| N | 42109 | |
| O | 22302 | |
| S | 10959 | 6.7% |
| R | 9736 | 5.9% |
| T | 9700 | 5.9% |
| E | 8250 | 5.0% |
| L | 8224 | 5.0% |
| D | 2902 | 1.8% |
| C | 2719 | 1.7% |
| Other values (4) | 377 | 0.2% |
Common
| Value | Count | Frequency (%) |
| 41989 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 206736 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| A | 47469 | |
| N | 42109 | |
| 41989 | ||
| O | 22302 | |
| S | 10959 | 5.3% |
| R | 9736 | 4.7% |
| T | 9700 | 4.7% |
| E | 8250 | 4.0% |
| L | 8224 | 4.0% |
| D | 2902 | 1.4% |
| Other values (5) | 3096 | 1.5% |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 9823 |
| Missing (%) | 15.3% |
| Memory size | 3.5 MiB |
| N A | |
|---|---|
| MASCULINO | |
| FEMENINO | 2696 |
Length
| Max length | 9 |
|---|---|
| Median length | 3 |
| Mean length | 4.500045803 |
| Min length | 3 |
Characters and Unicode
| Total characters | 245617 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | MASCULINO |
|---|---|
| 2nd row | MASCULINO |
| 3rd row | FEMENINO |
| 4th row | N A |
| 5th row | MASCULINO |
Common Values
| Value | Count | Frequency (%) |
| N A | 40486 | |
| MASCULINO | 11399 | 17.7% |
| FEMENINO | 2696 | 4.2% |
| (Missing) | 9823 | 15.3% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| n | 40486 | |
| a | 40486 | |
| masculino | 11399 | 12.0% |
| femenino | 2696 | 2.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| N | 57277 | |
| A | 51885 | |
| 40486 | ||
| M | 14095 | 5.7% |
| I | 14095 | 5.7% |
| O | 14095 | 5.7% |
| S | 11399 | 4.6% |
| C | 11399 | 4.6% |
| U | 11399 | 4.6% |
| L | 11399 | 4.6% |
| Other values (2) | 8088 | 3.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 205131 | |
| Space Separator | 40486 | 16.5% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| N | 57277 | |
| A | 51885 | |
| M | 14095 | 6.9% |
| I | 14095 | 6.9% |
| O | 14095 | 6.9% |
| S | 11399 | 5.6% |
| C | 11399 | 5.6% |
| U | 11399 | 5.6% |
| L | 11399 | 5.6% |
| E | 5392 | 2.6% |
Space Separator
| Value | Count | Frequency (%) |
| 40486 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 205131 | |
| Common | 40486 | 16.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| N | 57277 | |
| A | 51885 | |
| M | 14095 | 6.9% |
| I | 14095 | 6.9% |
| O | 14095 | 6.9% |
| S | 11399 | 5.6% |
| C | 11399 | 5.6% |
| U | 11399 | 5.6% |
| L | 11399 | 5.6% |
| E | 5392 | 2.6% |
Common
| Value | Count | Frequency (%) |
| 40486 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 245617 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| N | 57277 | |
| A | 51885 | |
| 40486 | ||
| M | 14095 | 5.7% |
| I | 14095 | 5.7% |
| O | 14095 | 5.7% |
| S | 11399 | 4.6% |
| C | 11399 | 4.6% |
| U | 11399 | 4.6% |
| L | 11399 | 4.6% |
| Other values (2) | 8088 | 3.3% |
| Distinct | 5287 |
|---|---|
| Distinct (%) | 63.1% |
| Missing | 56027 |
| Missing (%) | 87.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 52.9122542 |
| Minimum | 1.501369863 |
|---|---|
| Maximum | 122.4273973 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 503.3 KiB |
Quantile statistics
| Minimum | 1.501369863 |
|---|---|
| 5-th percentile | 26.01917808 |
| Q1 | 36.07945205 |
| median | 47.43835616 |
| Q3 | 60.60273973 |
| 95-th percentile | 122.4273973 |
| Maximum | 122.4273973 |
| Range | 120.9260274 |
| Interquartile range (IQR) | 24.52328767 |
Descriptive statistics
| Standard deviation | 24.95405359 |
|---|---|
| Coefficient of variation (CV) | 0.4716119917 |
| Kurtosis | 2.231559507 |
| Mean | 52.9122542 |
| Median Absolute Deviation (MAD) | 12.11780822 |
| Skewness | 1.575489523 |
| Sum | 443245.9534 |
| Variance | 622.7047906 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 122.4273973 | 681 | 1.1% |
| 41.90684932 | 16 | < 0.1% |
| 76.2109589 | 15 | < 0.1% |
| 72.96712329 | 14 | < 0.1% |
| 42.37534247 | 13 | < 0.1% |
| 52.38082192 | 12 | < 0.1% |
| 57.62465753 | 12 | < 0.1% |
| 48.37808219 | 12 | < 0.1% |
| 42.09863014 | 11 | < 0.1% |
| 56.82465753 | 8 | < 0.1% |
| Other values (5277) | 7583 | 11.8% |
| (Missing) | 56027 |
| Value | Count | Frequency (%) |
| 1.501369863 | 1 | |
| 2.326027397 | 1 | |
| 5.536986301 | 1 | |
| 5.553424658 | 1 | |
| 6.279452055 | 1 | |
| 7.093150685 | 1 | |
| 7.317808219 | 1 | |
| 7.504109589 | 2 | |
| 7.58630137 | 1 | |
| 7.739726027 | 1 |
| Value | Count | Frequency (%) |
| 122.4273973 | 681 | |
| 112.7150685 | 1 | < 0.1% |
| 102.9890411 | 1 | < 0.1% |
| 94.96438356 | 1 | < 0.1% |
| 92.14246575 | 3 | < 0.1% |
| 90.84109589 | 2 | < 0.1% |
| 90.04383562 | 1 | < 0.1% |
| 89.71232877 | 2 | < 0.1% |
| 89.53424658 | 1 | < 0.1% |
| 88.78630137 | 2 | < 0.1% |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| CodigoTipoAsegurado__c | PuntoVenta__c | tipo_poliza_name | tipo_prod_desc | ClaseVehiculo__c | MarcaVehiculo__c | MdeloVehiculo__c | TipoVehiculo__c | NumeroPoliza__c | FechaInicioVigencia__ctrim | churn | n_prod_prev | total_siniestros | total_pagado_smmlv | anios_ultimo_siniestro | Activos__c | AnnualRevenue | MontoAnual__c | OtrosIngresos__c | Profesion__pc | EgresosAnuales__c | EstadoCivil__pc | Genero__pc | edad | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 805 | de daños tradicional | otras | 99999 | NaN | NaN | 99999 | 1001140 | 02-2021 | 1 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 1 | 1 | 805 | de daños | otras | 99999 | NaN | NaN | 99999 | 1001140 | 02-2021 | 1 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 2 | 1 | 805 | flotante | otras | 99999 | NaN | NaN | 99999 | 1001140 | 02-2021 | 1 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 3 | 1 | 1203 | responsabilidad civil | otras | 99999 | NaN | NaN | 99999 | 1009923 | 01-2021 | 1 | NaN | NaN | NaN | NaN | 5.000000e+08 | 3.000000e+08 | NaN | NaN | NaN | 2.500000e+08 | SOLTERO | MASCULINO | 34.769863 |
| 4 | 4 | 404 | colectiva | otras | 99999 | NaN | NaN | 99999 | 3034490 | 02-2021 | 1 | NaN | 4.0 | 0.000000 | 3.082192 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 5 | 1 | 1002 | individual | convenios | 99999 | NaN | NaN | 99999 | 3048712 | 01-2021 | 1 | 8.0 | 38.0 | 3065.269972 | 0.008219 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 6 | 1 | 1002 | individual | convenios | 99999 | NaN | NaN | 99999 | 3052432 | 01-2021 | 1 | 8.0 | 38.0 | 3065.269972 | 0.008219 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 7 | 1 | 15 | s.o.a.t | otras | 1 | 97.0 | 999.0 | 0 | 4593295 | 01-2021 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 8 | 1 | 23 | colectiva | otras | 99999 | NaN | NaN | 99999 | 3025528 | 02-2021 | 1 | NaN | NaN | NaN | NaN | 1.856000e+09 | 2.251415e+09 | NaN | 1870000.0 | NaN | 2.111152e+09 | OTRO | MASCULINO | 41.150685 |
| 9 | 1 | 8042 | individual | convenios | 99999 | NaN | NaN | 99999 | 3075559 | 01-2021 | 0 | NaN | NaN | NaN | NaN | 8.000000e+07 | 4.000000e+07 | NaN | 0.0 | NaN | 1.400000e+07 | SOLTERO | FEMENINO | 40.542466 |
Last rows
| CodigoTipoAsegurado__c | PuntoVenta__c | tipo_poliza_name | tipo_prod_desc | ClaseVehiculo__c | MarcaVehiculo__c | MdeloVehiculo__c | TipoVehiculo__c | NumeroPoliza__c | FechaInicioVigencia__ctrim | churn | n_prod_prev | total_siniestros | total_pagado_smmlv | anios_ultimo_siniestro | Activos__c | AnnualRevenue | MontoAnual__c | OtrosIngresos__c | Profesion__pc | EgresosAnuales__c | EstadoCivil__pc | Genero__pc | edad | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 64394 | 4 | 1803 | responsabilidad civil | otras | 99999 | NaN | NaN | 99999 | 1008336 | 01-2021 | 1 | 1.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 64395 | 1 | 1002 | normal | otras | 99999 | NaN | NaN | 99999 | 1002679 | 01-2021 | 1 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 64396 | 1 | 23 | individual | otras | 99999 | NaN | NaN | 99999 | 3025434 | 01-2021 | 0 | NaN | NaN | NaN | NaN | 3.307350e+08 | 1.916790e+08 | NaN | 0.0 | NaN | 1.716010e+08 | SOLTERO | MASCULINO | 31.389041 |
| 64397 | 4 | 1402 | de daños | otras | 99999 | NaN | NaN | 99999 | 1001179 | 01-2021 | 1 | NaN | 12.0 | 25.850198 | 0.073973 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 64398 | 1 | 3301 | otras | otras | 99999 | NaN | NaN | 99999 | 3000193 | 01-2021 | 1 | 2.0 | NaN | NaN | NaN | 3.429540e+09 | 1.625870e+09 | NaN | 34993000.0 | NaN | 1.289049e+09 | CASADO | MASCULINO | 55.695890 |
| 64399 | 1 | 3301 | otras | otras | 99999 | NaN | NaN | 99999 | 3000192 | 01-2021 | 1 | 2.0 | NaN | NaN | NaN | 3.429540e+09 | 1.625870e+09 | NaN | 34993000.0 | NaN | 1.289049e+09 | CASADO | MASCULINO | 55.695890 |
| 64400 | 1 | 3202 | individual | convenios | 99999 | NaN | NaN | 99999 | 3129700 | 01-2021 | 0 | NaN | NaN | NaN | NaN | 1.585329e+09 | 1.150000e+08 | NaN | 3000000.0 | NaN | 6.500000e+07 | CASADO | MASCULINO | 42.375342 |
| 64401 | 1 | 404 | colectiva | otras | 99999 | NaN | NaN | 99999 | 3034376 | 01-2021 | 0 | 1.0 | NaN | NaN | NaN | 2.527961e+09 | 2.285945e+09 | NaN | 0.0 | NaN | 1.998118e+09 | OTRO | MASCULINO | 46.336986 |
| 64402 | 1 | 1820 | individual | otras | 99999 | NaN | NaN | 99999 | 3075907 | 01-2021 | 0 | NaN | NaN | NaN | NaN | 1.500000e+08 | 6.800000e+07 | NaN | 0.0 | NaN | 4.000000e+07 | CASADO | MASCULINO | 39.693151 |
| 64403 | 1 | 3303 | s.o.a.t | otras | 1 | 97.0 | 999.0 | 0 | 4595162 | 02-2021 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | N A | MASCULINO | 27.227397 |